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All-or-none activity as a correlate of object awareness in monkey visual cortex

机译:全或无活动与猴子视觉皮层中对象意识的相关

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Recurring activity in visual areas has been argued to have an essential role in object aware recognition. However, this has been hard to prove, mainly due to the difficulty in dissociating low-level feature extraction from the actual object recognition activity. Here we used an innovative technique called Semantic Wavelet-Induced Frequency-Tagging (SWIFT), where cyclic wavelet-scrambling allowed us to isolate neural correlates of the semantic extraction from low-level features processing of the image. Electrocorticogram electrodes placed intracranially over ventral visual areas from V2 to TEO allowed us to record neural activity with both high temporal and spatial resolution. One macaque monkey was trained to perform an animalon-animal categorization task. In each trial a SWIFT sequence containing either a target (an animal) or a distractor (a landscape, object or meaningless texture) was presented. The monkey reported the presence or absence of a target by a go or no-go manual response respectively. In each session, one third of the trials corresponded to new images, making the task quite challenging (about 65% correct responses on targets). Event-related potential (ERP) analysis of local sources revealed two ERP components in ventral visual areas. A first positive (P1) component, representing the feed-forward sweep, peaked around 100 ms; while a second positive (P2) component, likely representing recurring reactivation, appeared from 200 ms after the semantic onset. The P1 component was present either the target was recognized or not and its amplitude was modulated by stimulus category (low amplitude for meaningless texture distractors, medium amplitude for object distractors and high amplitude for animal targets). On the other hand, the P2 component was only present when the target was recognized or when a distractor elicited a false alarm, but totally absent otherwise, either when the target was not recognized or when a distractor was correctly rejected, thus being modulated in an all-or-none fashion by image recognition as a target of the task. Importantly, this P2 modulation was observed when comparing the same images before and after being recognized as a target, demonstrating that the P2 component is a specific feature related to aware image recognition.
机译:有人认为视觉区域的重复活动在识别物体的识别中起着至关重要的作用。但是,这很难证明,主要是由于难以将低级特征提取与实际的对象识别活动分离。在这里,我们使用了一种称为语义小波诱导的频率标记(SWIFT)的创新技术,其中循环小波加扰使我们能够从图像的低级特征处理中分离出语义提取的神经相关性。从V2到TEO在颅内视觉区域上方颅内放置的皮质电图电极使我们能够以高时空分辨率记录神经活动。训练了一只猕猴执行动物/非动物分类任务。在每个试验中,均展示了包含目标(动物)或干扰物(风景,物体或无意义的纹理)的SWIFT序列。猴子分别通过执行或不执行手动响应报告了目标的存在或不存在。在每个环节中,三分之一的试验对应于新图像,这使任务颇具挑战性(对目标的正确反应约为65%)。事件相关电位(ERP)对本地来源的分析揭示了腹侧视觉区域中的两个ERP组件。代表前馈扫描的第一个正(P1)分量在100 ms左右达到峰值;而第二个正(P2)成分(可能表示重复激活)从语义发作后200毫秒开始出现。 P1成分无论是否识别出目标都存在,并且其振幅通过刺激类别(对于无意义的纹理干扰物为低振幅,对于物体干扰物为中等振幅,对于动物目标为高振幅)进行调制。另一方面,P2成分仅在目标被识别或干扰物引起错误警报时才存在,而在未识别目标或干扰物被正确剔除时完全不存在,因此被调制为P2成分。以图像识别为全部或没有时尚作为任务的目标。重要的是,在比较被识别为目标之前和之后的相同图像时,观察到了P2调制,这表明P2分量是与感知图像识别有关的特定功能。

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